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Data X:
1 1 14 12 26 21 21 23 17 23 1 1 18 11 20 16 15 24 17 20 1 1 11 14 19 19 18 22 18 20 1 0 12 12 19 18 11 20 21 21 1 1 16 21 20 16 8 24 20 24 1 1 18 12 25 23 19 27 28 22 1 0 14 22 25 17 4 28 19 23 1 1 14 11 22 12 20 27 22 20 1 1 15 10 26 19 16 24 16 25 1 1 15 13 22 16 14 23 18 23 1 0 17 10 17 19 10 24 25 27 1 0 19 8 22 20 13 27 17 27 1 1 10 15 19 13 14 27 14 22 1 1 16 14 24 20 8 28 11 24 1 1 18 10 26 27 23 27 27 25 1 0 14 14 21 17 11 23 20 22 1 1 14 14 13 8 9 24 22 28 1 0 17 11 26 25 24 28 22 28 1 0 14 10 20 26 5 27 21 27 1 1 16 13 22 13 15 25 23 25 1 0 18 7 14 19 5 19 17 16 1 1 11 14 21 15 19 24 24 28 1 1 14 12 7 5 6 20 14 21 1 0 12 14 23 16 13 28 17 24 1 1 17 11 17 14 11 26 23 27 1 1 9 9 25 24 17 23 24 14 1 1 16 11 25 24 17 23 24 14 1 1 14 15 19 9 5 20 8 27 1 0 15 14 20 19 9 11 22 20 1 1 11 13 23 19 15 24 23 21 1 0 16 9 22 25 17 25 25 22 1 1 13 15 22 19 17 23 21 21 1 1 17 10 21 18 20 18 24 12 1 0 15 11 15 15 12 20 15 20 1 0 14 13 20 12 7 20 22 24 1 0 16 8 22 21 16 24 21 19 1 1 9 20 18 12 7 23 25 28 1 0 15 12 20 15 14 25 16 23 1 0 17 10 28 28 24 28 28 27 1 1 13 10 22 25 15 26 23 22 1 1 15 9 18 19 15 26 21 27 1 1 16 14 23 20 10 23 21 26 1 1 16 8 20 24 14 22 26 22 1 0 12 14 25 26 18 24 22 21 1 0 12 11 26 25 12 21 21 19 1 1 11 13 15 12 9 20 18 24 1 0 15 9 17 12 9 22 12 19 1 0 15 11 23 15 8 20 25 26 1 1 17 15 21 17 18 25 17 22 1 0 13 11 13 14 10 20 24 28 1 1 16 10 18 16 17 22 15 21 1 1 14 14 19 11 14 23 13 23 1 1 11 18 22 20 16 25 26 28 1 1 12 14 16 11 10 23 16 10 1 0 12 11 24 22 19 23 24 24 1 1 15 12 18 20 10 22 21 21 1 1 16 13 20 19 14 24 20 21 1 1 15 9 24 17 10 25 14 24 1 0 12 10 14 21 4 21 25 24 1 0 12 15 22 23 19 12 25 25 1 1 8 20 24 18 9 17 20 25 1 1 13 12 18 17 12 20 22 23 1 1 11 12 21 27 16 23 20 21 1 0 14 14 23 25 11 23 26 16 1 1 15 13 17 19 18 20 18 17 1 0 10 11 22 22 11 28 22 25 1 0 11 17 24 24 24 24 24 24 1 0 12 12 21 20 17 24 17 23 1 1 15 13 22 19 18 24 24 25 1 1 15 14 16 11 9 24 20 23 1 1 14 13 21 22 19 28 19 28 1 0 16 15 23 22 18 25 20 26 1 0 15 13 22 16 12 21 15 22 1 1 15 10 24 20 23 25 23 19 1 1 13 11 24 24 22 25 26 26 1 1 12 19 16 16 14 18 22 18 1 1 17 13 16 16 14 17 20 18 1 0 13 17 21 22 16 26 24 25 1 0 15 13 26 24 23 28 26 27 1 0 13 9 15 16 7 21 21 12 1 0 15 11 25 27 10 27 25 15 1 1 16 10 18 11 12 22 13 21 1 0 15 9 23 21 12 21 20 23 1 1 16 12 20 20 12 25 22 22 1 0 15 12 17 20 17 22 23 21 1 0 14 13 25 27 21 23 28 24 1 1 15 13 24 20 16 26 22 27 1 1 14 12 17 12 11 19 20 22 1 1 13 15 19 8 14 25 6 28 1 1 7 22 20 21 13 21 21 26 1 1 17 13 15 18 9 13 20 10 1 0 13 15 27 24 19 24 18 19 1 1 15 13 22 16 13 25 23 22 1 1 14 15 23 18 19 26 20 21 1 1 13 10 16 20 13 25 24 24 1 1 16 11 19 20 13 25 22 25 1 0 12 16 25 19 13 22 21 21 1 1 14 11 19 17 14 21 18 20 1 0 17 11 19 16 12 23 21 21 1 0 15 10 26 26 22 25 23 24 1 1 17 10 21 15 11 24 23 23 1 0 12 16 20 22 5 21 15 18 1 1 16 12 24 17 18 21 21 24 1 1 11 11 22 23 19 25 24 24 1 0 15 16 20 21 14 22 23 19 1 1 9 19 18 19 15 20 21 20 1 0 16 11 18 14 12 20 21 18 1 1 15 16 24 17 19 23 20 20 1 1 10 15 24 12 15 28 11 27 1 1 10 24 22 24 17 23 22 23 1 1 15 14 23 18 8 28 27 26 1 1 11 15 22 20 10 24 25 23 1 1 13 11 20 16 12 18 18 17 1 1 14 15 18 20 12 20 20 21 1 1 18 12 25 22 20 28 24 25 1 0 16 10 18 12 12 21 10 23 1 1 14 14 16 16 12 21 27 27 1 1 14 13 20 17 14 25 21 24 1 0 14 9 19 22 6 19 21 20 1 1 14 15 15 12 10 18 18 27 1 1 12 15 19 14 18 21 15 21 1 1 14 14 19 23 18 22 24 24 1 1 15 11 16 15 7 24 22 21 1 1 15 8 17 17 18 15 14 15 1 1 15 11 28 28 9 28 28 25 1 0 13 11 23 20 17 26 18 25 1 1 17 8 25 23 22 23 26 22 1 1 17 10 20 13 11 26 17 24 1 0 19 11 17 18 15 20 19 21 1 0 15 13 23 23 17 22 22 22 1 1 13 11 16 19 15 20 18 23 1 0 9 20 23 23 22 23 24 22 1 0 15 10 11 12 9 22 15 20 1 0 15 15 18 16 13 24 18 23 1 0 15 12 24 23 20 23 26 25 1 1 16 14 23 13 14 22 11 23 1 1 11 23 21 22 14 26 26 22 1 0 14 14 16 18 12 23 21 25 1 0 11 16 24 23 20 27 23 26 1 1 15 11 23 20 20 23 23 22 1 1 13 12 18 10 8 21 15 24 1 1 15 10 20 17 17 26 22 24 1 1 16 14 9 18 9 23 26 25 1 0 14 12 24 15 18 21 16 20 1 1 15 12 25 23 22 27 20 26 1 1 16 11 20 17 10 19 18 21 1 0 16 12 21 17 13 23 22 26 1 0 11 13 25 22 15 25 16 21 1 0 12 11 22 20 18 23 19 22 1 0 9 19 21 20 18 22 20 16 1 1 16 12 21 19 12 22 19 26 1 1 13 17 22 18 12 25 23 28 1 1 16 9 27 22 20 25 24 18 1 0 12 12 24 20 12 28 25 25 1 0 9 19 24 22 16 28 21 23 1 0 13 18 21 18 16 20 21 21 1 1 13 15 18 16 18 25 23 20 1 1 14 14 16 16 16 19 27 25 0 1 19 11 22 16 13 25 23 22 0 1 13 9 20 16 17 22 18 21 0 0 12 18 18 17 13 18 16 16 0 1 13 16 20 18 17 20 16 18
Names of X columns:
Pop Gender Happiness Depression I1 I2 I3 E1 E2 E3
Type of Correlation


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Title:

R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method=par1) r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') n <- length(y[,1]) n a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ',header=TRUE) for (i in 1:n) { a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) } a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) for (j in 1:n) { r <- cor.test(y[i,],y[j,],method=par1) a<-table.element(a,round(r$estimate,3)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) cor.test(y[1,],y[2,],method=par1) for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') a<-table.element(a,dum,header=TRUE) rp <- cor.test(y[i,],y[j,],method='pearson') a<-table.element(a,round(rp$estimate,4)) rs <- cor.test(y[i,],y[j,],method='spearman') a<-table.element(a,round(rs$estimate,4)) rk <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,round(rk$estimate,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=T) a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable1.tab')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	The field 'Names of X columns' contains a hard return which cannot be interpreted. Please, resubmit your request without hard returns in the 'Names of X columns'.